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2024 Test H19-461_V1.0 Cram & H19-461_V1.0 Official Study Guide - Cert HCSP-Presales-Transmission V1.0 Guide - Grad-Bsru

HCSP-Presales-Transmission V1.0

Questions and Answers : 430 Q&As

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Product Description Exam Number/Code: H19-461_V1.0

Exam Number/Code: H19-461_V1.0

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NEW QUESTION: 1
Which of the following statements is correct concerning multiple vdoms configured in a FortiGate device?
A. Each VDOM requires its own FortiGuard license.
B. FortiGate devices support more NAT/route VDOMs than Transparent Mode VDOMs.
C. FortiGate devices,from the FGT/FWF 60D and above, all support VDOMS.
D. All FortiGate devices scale to 250 VDOMS.
Answer: C

NEW QUESTION: 2
ソリューションアーキテクトがAWSにデプロイされる新しいアプリケーションのクラウドアーキテクチャを設計しているプロセスは、処理するジョブの数に基づいて、必要に応じてアプリケーションノードを追加および削除しながら並行して実行する必要がありますプロセッサーアプリケーションはステートレスですソリューションアーキテクトは、アプリケーションは疎結合であり、ジョブアイテムは永続的に保存されます。ソリューションアーキテクトはどの設計を使用する必要がありますか?
A. 処理が必要なジョブを送信するためのAmazon SNSトピックを作成しますプロセッサーアプリケーションで構成されるAmazonマシンイメージ(AMI)を作成しますAMIを使用する起動構成を作成します起動構成セットを使用してAuto Scalingグループを作成しますCPU使用率に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー
B. 処理が必要なジョブを送信するためのAmazon SNSトピックを作成しますプロセッサーアプリケーションで構成されるAmazonマシンイメージ(AMI)を作成しますAMIを使用する起動テンプレートを作成します起動テンプレートセットを使用してAuto Scalingグループを作成しますSNSトピックにパブリッシュされたメッセージの数に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー。
C. 処理が必要なジョブを保持するAmazon SQSキューを作成しますプロセッサーアプリケーションで構成されるAmazonマシンイメージ(AMI)を作成しますAMIを使用する起動構成を作成します起動構成セットを使用してAuto Scalingグループを作成しますネットワークの使用状況に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー
D. 処理が必要なジョブを保持するAmazon SQSキューを作成します。プロセッサーアプリケーションで構成されるAmazonマシンイメージ(AMI)を作成します。AMIを使用する起動テンプレートを作成します。起動テンプレートを使用してAuto Scalingグループを作成します。 SQSキュー内のアイテム数に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー
Answer: D
Explanation:
Explanation
Amazon Simple Queue Service
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands.
SQS offers two types of message queues. Standard queues offer maximum throughput, best-effort ordering, and at-least-once delivery. SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent.
Scaling Based on Amazon SQS
There are some scenarios where you might think about scaling in response to activity in an Amazon SQS queue. For example, suppose that you have a web app that lets users upload images and use them online. In this scenario, each image requires resizing and encoding before it can be published. The app runs on EC2 instances in an Auto Scaling group, and it's configured to handle your typical upload rates. Unhealthy instances are terminated and replaced to maintain current instance levels at all times. The app places the raw bitmap data of the images in an SQS queue for processing. It processes the images and then publishes the processed images where they can be viewed by users. The architecture for this scenario works well if the number of image uploads doesn't vary over time. But if the number of uploads changes over time, you might consider using dynamic scaling to scale the capacity of your Auto Scaling group.
https://aws.amazon.com/sqs/#:~:text=Amazon%20SQS%20leverages%20the%20AWS,queues%20provide%20n
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html

NEW QUESTION: 3
Service A is an entity service with a functional context dedicated to invoice-related
processing. Service B is a utility service that provides generic data access to a database.
In this service composition architecture, Service Consumer A sends a SOAP message
containing an invoice XML document to Service A(1). Service A then sends the invoice
XML document to Service B (2), which then writes the invoice document to a database.
The data model used by Service Consumer A to represent the invoice document is based
on XML Schema A.
The service contract of Service A is designed to accept invoice documents based on XML Schema B.
The service contract for Service B is designed to accept invoice documents based on XML Schema A.
The database to which Service B needs to write the invoice record only accepts entire business documents in Comma
Separated Value (CSV) format.

Due to the incompatibility of the XML schemas used by the services, the sending of the
invoice document from Service Consumer A through to Service B cannot be accomplished
using the services as they currently exist. Assuming that the Contract Centralization pattern
is being applied and that the Logic Centralization is not being applied, what steps can be
taken to enable the sending of the invoice document from Service Consumer A to the
database without adding logic that will increase the runtime performance requirements of
the service composition?
A. None of the above.
B. The service composition can be redesigned so that Service Consumer A sends the
invoice document directly to Service B.
Because Service Consumer A and Service B use XML Schema A, the need for transformation logic is avoided. This naturally applies the
Service Loose Coupling principle because Service Consumer A is not required to send the
invoice document in a format that is compliant with the database used by Service B.
C. Service Consumer A can be redesigned to write the invoice document directly to the
database. This reduces performance requirements by avoiding the involvement of Service
A and Service B . It further supports the application of the Service Abstraction principle by
ensuring that Service Consumer A hides the details of the data access logic required to
write to the database.
D. Service Consumer A can be redesigned to use XML Schema B so that the SOAP
message it sends is compliant with the service contract of Service A . The Data Model
Transformation pattern can then be applied to transform the SOAP message sent by
Service A so that it conforms to the XML Schema A used by Service B.
The Standardized Service Contract principle must then be applied to Service B and Service Consumer A so
that the invoice XML document is optimized to avoid unnecessary validation.
Answer: B


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